Machine Learning Engineer

Location Atlanta, USA
Discipline: Data Science
Job type: Permanent
Salary: $185000 to $200000
Contact email:
Job ref: 783806
Published: about 2 months ago
About the Company:
Our client provides business insurance to SMB companies in a wide variety of industries.

About the role:
Location: ATL (Hybrid/WFH) 
Base Salary: $185K-$205K, plus equity options and excellent benefits

Overview of the role:
Full-stack ML engineer, supercharging all aspects of scaling Machine Learning: application design and architecture, scalable deployment of inference solutions as APIs, data enrichment as a service, and model monitoring.

What You’ll Do:
  • Empower our team of data scientists to rapidly develop and deploy ML solutions.
  • Leverage software engineering best-practices to create and deploy data-intensive and machine learning inference products.
  • Understand the data and dig deep to extract actionable insights.
  • Think creatively and outside the box to answer desired experimental questions as well as exposing opportunities to create business value.
  • Work cross-functionally with marketing, engineering, product, senior management, and external partners.

What We Need:
  • 3+ years of hands-on experience in the complete software development life-cycle with demonstrated professional experience with machine learning
  • Strong command of Python and the standard web development frameworks (e.g. Django, Flask, FastAPI) & fluency with database technologies, SQL, and Python data packages
  • Demonstrated experience deploying models and applications to a cloud environment using tools like Docker and Kubernetes.
  • Demonstrated experience with software engineering best-practices, such as Test-Driven Development and continuous integration/deployment pipelining
  • Experience with ML-oriented data pipelining tools (dbt, Airflow, Prefect, DVC, etc.)